摘要
通过对机织物图像的表面形态分析,建立3种基本组织(平纹、斜纹和缎纹)的表面纹理模型,运用傅里叶变换技术得到3种基本组织的频谱模型,并建立表面纹理模型和频谱图模型之间的对应关系,从而为运用图像分析和人工智能技术自动测量织物的结构参数、识别机织物类型奠定理论基础.实验结果证明,这种方法是准确可靠的.
The surface model of woven fabric image is studied by using the geometrical analysis method.Fourier transform technique is used to establish the spectrum model of three basic weave patterns.Thus the relationship between the spectrum model of woven fabric and its spatial surface texture model can be determined to identify the fabric weave pattern using image analysis and artificial intelligence techniques.Experimental results show this method is reliable and accurate.
出处
《东华大学学报（自然科学版）》
CAS
CSCD
北大核心
2011年第1期35-41,共7页
Journal of Donghua University(Natural Science)
基金
上海市浦江人才计划资助项目(10PJ1404600)
关键词
织物组织结构
傅里叶变换技术
纹理分析
图像处理技术
fabric woven structure
Fourier transform technique
texture analysis
image processing technique
